仓库/Skill 库

跨平台 Codex 安装套件，包含专用 agent、精选 skill、默认安全的 MCP 配置、预览优先的安装流程以及清晰的验证步骤。A cross-platform Codex setup kit with specialist agents, curated skills, safe MCP defaults, preview-first installation, and clear verification.

AI 运营门店。人类定方向，Agent 执行落地。AI run the shop. Humans set direction, agents execute.

机器可读的架构决策记录。Git 原生的决策记忆与治理，面向人类与 Agent 编写的方案 — 集成 lint、CI 与 MCP。Machine-readable architecture decision records. Git-native decision memory and governance for human and agent-authored plans -- lint, CI, and MCP.

你的 agent 能写出变更——却无法告诉你还有哪些内容依赖于它正在修改的代码。本工具从你自己的代码构建产品模型，然后对每个任务打分：变更内容、影响范围、波及的用户旅程与敏感数据——让运算结果直观呈现在屏幕上。本地运行，零依赖，无遥测。包含 MCP。Your agent can write the change — it can't tell you what else depends on the code it's touching. This builds a model of your product from your own code, then scores every task: what it changes, what that reaches, which user journeys and sensitive data are in the blast radius — arithmetic on screen. Local, zero deps, no telemetry. MCP included.

为 AI Agent 设计的记忆系统，学习真正起作用的教训：在行动瞬间注入经验，依据结果归功，以反证挑战。本地优先、多 Agent、测试门控。Memory for AI agents that learns what actually helped: lessons injected at the moment of action, credited by outcome, challenged by counter-evidence. Local-first, multi-agent, test-gated.

DeepThink-AIOS 是一个完全本地化的多 agent 系统，配备双沙箱代码/逻辑验证、ChromaDB RAG 记忆与动态 VRAM 多路复用。DeepThink-AIOS is a fully local, multi-agent System with dual-sandbox code/logic verification, ChromaDB RAG memory, and dynamic VRAM multiplexing .

面向中小企业的 AI 运营层。将 Telegram、WhatsApp、Slack、Discord、GitLab、cron、webhook 以及 mesh 任务路由到基于 Claude、OpenAI 或任意 LLM 的 AI agent。非技术运营者使用 Web 向导，工程师使用 CLI。支持自托管。AI operations layer for small & medium businesses. Route Telegram, WhatsApp, Slack, Discord, GitLab, crons, webhooks, and mesh tasks to AI agents on Claude, OpenAI, or any LLM. Web wizard for non-technical operators, CLI for engineers. Self-hosted.

扩展 gastown 的 Gas City pack，包含自定义 Agent、公式与规划工作流。A Gas City pack with custom agents, formulas, and planning workflows, extending gastown

Jaz 的完整 agent 技术栈。包含插件、Skills、MCP 工具和 CLI，支持 Claude Code、Cowork、Codex、Copilot、Cursor 等。Complete agent stack for Jaz. Plugins, Skills, MCP tools, and CLI for Claude Code, Cowork, Codex, Copilot, Cursor, and more.

在工作发生的地方就地捕获团队知识，由 agent 归档，并以可核验的引用形式给出回答。A team's knowledge, captured where the work happens, filed by an agent, and answered with citations you can check.

为 AI 编码 Agent 提供调用图上下文——展示调用者、测试与 blast radius，让 Agent 安全地变更代码。CLI 与 MCP。MIT 许可。Call-graph context for AI coding agents — surfaces callers, tests, and blast radius so agents make changes safely. CLI and MCP. MIT.

面向本地 AI Agent 的免费跨平台 UI，可在移动端、桌面端或无头 Docker 上编排 Ollama、嵌入式 GGUF 模型、DuckDB RAG 及 MCP 工具，无需 YAML 配置。A free, cross-platform UI for local AI agents. Orchestrate Ollama, embedded GGUF models, DuckDB RAG, and MCP tools on mobile, desktop, or headless Docker without YAML configs.

运行在你 PC 上的开源 AI 内容工厂——自动发现主题、调研、撰写、多模型 QA 审核并发布。基于 Ollama 本地优先，$0 API 成本。The open-source AI content factory that runs on your PC — discovers topics, researches, writes, reviews with multi-model QA, and publishes. Local-first via Ollama, $0 API costs.

众多 Agent，一个目标——你的目标。Many Agents, one objective... yours

🤖 基于 AI 分析与智能搜索，定制化发现 ArXiv 上你感兴趣的最新论文🤖 Discover the latest research papers on ArXiv tailored to your interests using AI-powered analysis and smart search features.

AI 驱动的初创公司情报 Agent——手写 ReAct 循环、并行工具执行、实时联网搜索以及 RAG 增强的文档分析。不依赖任何框架，具备完整理解能力。AI-powered startup intelligence agent — hand-built ReAct loop, parallel tool execution, live web search, and RAG-grounded document analysis. No frameworks. Full understanding.

面向 LLM 的无损上下文压缩：token 用量减少 2–8 倍，按字节精确还原（sha256 校验）。提供 Claude Code 与 Cursor 的 MCP server。Lossless context compression for LLMs: 2x-8x fewer tokens, byte-exact reconstruction (sha256-verified). MCP server for Claude Code & Cursor.

AI-Factory — 自主流水线，自动设计、构建、测试并发布产品。AI-Factory — autonomous pipeline that designs, builds, tests, and publishes products.

并行运行 AI coding agent——当任务层层叠加时可进行堆叠式调用。一款 macOS 应用，为每个任务提供独立的 git worktree、分支和 Claude Code 会话。Run AI coding agents in parallel — and stack them when work builds on work. A macOS app that gives every task its own git worktree, branch, and Claude Code session.

基于大语言模型的智能研发效能助手。深度解析需求文档，精准识别逻辑漏洞；多维度生成测试用例，提升用例设计效率；构建可复用的测试知识库，将个人经验转化为团队资产。赋能 QA ，实现质量保障智能化。

基于 Rust 构建的 MCP 原生嵌入式 AI agent 记忆数据库，提供 REMEMBER/RECALL/FORGET/SHARE 原语，支持混合向量搜索、AES-256-GCM 加密、DuckDB/PostgreSQL 后端以及 Python、TypeScript 与 Go 的 SDKMCP-native embedded memory database for AI agents built in Rust. REMEMBER/RECALL/FORGET/SHARE primitives with hybrid vector search, AES-256-GCM encryption, DuckDB/PostgreSQL backends & SDKs for Python, TypeScript and Go.

🤖 使用 SurfSense 增强你的研究——一个可定制的 AI Agent，可连接多平台，实现更智能、高效的信息检索。🤖 Enhance your research with SurfSense, a customizable AI agent that connects to multiple platforms for smarter, effective information retrieval.

本地 Agent 个人 AI，本地 AI Runtime，专注于完全离线在设备端运行，将普通小型 chatbot 升级为强大的 AI，轻量而强大，用于构建自适应的个人 AI。支持多种 Backend。Local Agent Personal Artificial Intelligence, Local AI Runtime, That Focus work on device entirely offline and enchant tiny chatbot regular AI to become powerful, a lightweight yet powerful for building personal, adaptive AI. Work with multiple Backend

Proof Gradient 是 agent 演化协议：每次运行都会留下 proof，每个 proof 都会筛选 intelligence，每个被选中的 artifact 都会推动网络演化。Proof Gradient is the agent evolution protocol where every run leaves proof, every proof selects intelligence, and every selected artifact evolves the network.

Bun 与 Node 的契约优先后端框架：一次 defineContract() 即可生成 HTTP API、MCP 工具、AI Agent 工具与类型化客户端。Contract-first backend framework for Bun and Node — one defineContract() into an HTTP API, MCP tools, AI-agent tools and a typed client.

免费、本地优先、按章节编排的 LLM、向量数据库、RAG 与 Agent 课程——从零到你的首个 AI agent。Free, local-first, chapter-wise curriculum for LLMs, Vector DBs, RAG & Agents — from zero to your first AI agent.

🔍 使用 DeepSearch 自动化数字足迹分析，借助高级 Google 搜索操作符高效收集多平台洞察。🔍 Automate digital footprint analysis with DeepSearch, using advanced Google search operators to gather insights from multiple platforms efficiently.

面向 AI-ready 仓库的决策驱动脚手架。将架构决策转化为 ADR 及其衍生的规则、指南和 runbook——以每种 AI agent 的原生格式输出。零依赖。Decision-driven scaffolding for AI-ready repos. Turn architecture decisions into ADRs plus the rules, guidelines and runbooks they imply — in every AI agent's native format. Zero dependencies.

builderr.ai 交易 Agent 模板——fork 后实现 decide()，即可提交。Trading agent template for builderr.ai — fork this, implement decide(), submit.

与 Agent 无关、与项目无关的 AI 工具包，用于与 AI 编码 Agent 开展结构化编码会话。An agent agnostic, project agnostic, AI toolkit for running structured coding sessions with AI coding agents

Keel 将编码 Agent 转变为工作 owner：项目中立的 issue-to-done 工作流骨干。Keel turns coding agents into work owners: a project-neutral issue-to-done workflow backbone.

Phil 是一位自我进化的交易者：一个在短期预测市场上交易、并在每笔赌注结算后改写自身策略的 AI agent。云端 7×24 模拟交易，通过 Pearl Connect 投入小额受限的真实资金。Phil is a self-improving trader: an AI agent that trades short-term prediction markets and rewrites his own strategy after every settled bet. Paper 24/7 in the cloud; small capped real stakes via Pearl Connect.

Galactus 在低于规格的 Mac 上运行 744B 与 235B MoE 模型，具备与 llama.cpp 的逐位精度一致、以 RAM 作为缓存的执行模式，并提供完整的本地应用，涵盖 Agent、权限门控、代码编辑器、已认证的服务器模式、定时无人值守运行以及完整公开的测评数据Galactus executes 744B and 235B MoE models on undersized Macs with bit‑perfect llama.cpp parity, RAM-as-cache execution, and a full local app featuring an agent, permission gate, code editor, authenticated server mode, scheduled unattended runs, and fully published measurements.

针对 DeepSeek Harness Agent 的策略强制、证据优先的治理工作流。Policy-enforced, evidence-first governed workflows for DeepSeek Harness agents.

多模型协作与智能辩论平台 — Multi-Agent 并行工作流 + RAG + 知识图谱，让多个 AI 像专家团队一样辩论、推理、共创

自治 AI 的形式化框架——Neural Parliament、Ulysses Contracts、Identity Layer。提供参考实现与 Lean 验证的证明，Apache-2.0 许可。Formal framework for self-governing AI — Neural Parliament, Ulysses Contracts, Identity Layer. Reference implementation, Lean-verified proofs, Apache-2.0.